By Topic

An Intelligent Agent for Personalized E-Learning

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jin-Ling Lin ; Dept. of Inf. Manage., Shih-Hsin Univ., Taipei ; Ming-Hung Chen

When people browse the learning materials on a Web site, the sequence of content they browse might not have any particular relations. Therefore, the proposed research tries to build an intelligent agent for discovering a specific learner's interests in different knowledge fields dynamically, instead of finding the sequence of content he browses. Naive Bayesian classifier (NBC for short) is used as the approach of prospecting and analyzing learner's interests. Push technology is applied to do recommendation of new coming learning materials based on the suggestion obtained by NBC. The simulation results show the power of the proposed intelligent agent.

Published in:

Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on  (Volume:1 )

Date of Conference:

26-28 Nov. 2008